Fries, Christian P. (2023): Concepts from Mathematical Finance for Assessing and Achieving Intergenerationally Equitable Climate Mitigation: Implied CO2-Price, Carbon Interest Rate, Fair Share of GDP, and the Extension of an Integrated Assessment Model with a Climate Transformation Fund.
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Abstract
This paper applies concepts from mathematical finance to the analysis of climate change mitigation costs and policy design. We define three metrics: an implied CO2-price based on the total discounted cost of abatement and damages; a carbon interest rate, representing the internal rate of return of abatement actions; and a fair share of GDP to support effort-based climate funding. These metrics provide ex post evaluations of optimal emission pathways in integrated assessment models (IAMs), offering a descriptive framework for understanding the cost structure of climate policy.
In addition, we extend an integrated assessment model by incorporating a climate transformation fund, funded by a fixed GDP share, a CO2-price, or a mix) and that finances climate-related costs over time. This extension improves intergenerational equity.
We consider the general case of a stochastic model.
Our numerical experiments on a classical (deterministic) DICE model show that the implied CO2-price is a factor of 10 larger than the classical social cost of carbon (a marginal price) and that the implied share of GDP is roughly 3 %. However, the model exhibits substantial intergenerational inequality.
Introducing a climate transformation fund, our numerical result shows that roughly 2.4 % of the GDP is sufficient to cover all climate mitigation costs (including abatement and damage cost), equally distributing the burden among all generations. This intergenerational equitable climate change mitigation results in only a modest reduction of the GDP or consumption (significantly smaller than the funding rate).
Analysing a stochastic extension of a DICE model, we see that the presence of a climate transformation fund significantly reduces the convexity and volatility of the cost structure.
Item Type: | MPRA Paper |
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Original Title: | Concepts from Mathematical Finance for Assessing and Achieving Intergenerationally Equitable Climate Mitigation: Implied CO2-Price, Carbon Interest Rate, Fair Share of GDP, and the Extension of an Integrated Assessment Model with a Climate Transformation Fund |
Language: | English |
Keywords: | Integrated Assessment Models; CO₂-Price; Social Cost of Carbon; Carbon Interest Rate; Interest Rate of Carbon; Intergenerational Equity; Fair Share of GDP; Climate Transformation Fund; Stochastic IAM, Convexity |
Subjects: | D - Microeconomics > D5 - General Equilibrium and Disequilibrium > D58 - Computable and Other Applied General Equilibrium Models H - Public Economics > H4 - Publicly Provided Goods > H43 - Project Evaluation ; Social Discount Rate Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q51 - Valuation of Environmental Effects Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q54 - Climate ; Natural Disasters and Their Management ; Global Warming Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q58 - Government Policy |
Item ID: | 125821 |
Depositing User: | Christian Fries |
Date Deposited: | 19 Aug 2025 18:42 |
Last Modified: | 19 Aug 2025 18:42 |
References: | Tamma A. Carleton et al. Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits. Working Paper 27599. Series: Working Paper Series. National Bureau of Economic Research, July 2020. DOI: 10.3386/w27599. URL: https://www.nber.org/papers/ w27599 (visited on 09/01/2021). Simon Dietz et al. “Economic impacts of tipping points in the climate system”. In: Proceedings of the National Academy of Sciences 118.34 (Aug. 2021). Pub- lisher: Proceedings of the National Academy of Sciences, e2103081118. DOI: 10.1073/pnas.2103081118. URL: https://www.pnas.org/doi/ abs/10.1073/pnas.2103081118 (visited on 03/10/2023). Timm Faulwasser et al. “Towards a FAIR-DICE IAM: Combining DICE and FAIR Models”. en. In: IFAC-PapersOnLine. 1st IFAC Workshop on Integrated Assessment Modelling for Environmental Systems IAMES 2018 51.5 (Jan. 2018), pp. 126–131. ISSN: 2405-8963. DOI: 10.1016/j.ifacol.2018.06.222. URL: https://www.sciencedirect.com/science/article/pii/ S2405896318305196 (visited on 03/09/2023). finmath.net. Implementation of an Extended Stochastic DICE Model with Non- Linear Discounting and Emission Trading Fund. URL: https://gitlab. com/finmath/finmath-climate-nonlinear. Christian Fries. Mathematical Finance: Theory, Modeling, Implementation. En- glish. Hardcover. Wiley, Aug. 24, 2007, p. 544. ISBN: 978-0470047224. URL: https://lead.to/amazon/com/?op=bt&la=en&cu=usd&key= 0470047224. Christian P. Fries. “A Short Note on the Exact Stochastic Simulation Scheme of the Hull-White Model and Its Implementation”. In: SSRN Electronic Journal (2016). ISSN: 1556-5068. DOI: 10.2139/ssrn.2737091. URL: http: //dx.doi.org/10.2139/ssrn.2737091. Christian P. Fries. “Fair Share of GDP to Mitigate Climate Change Costs (ac- cording to DICE)”. In: SSRN Electronic Journal (2024). DOI: 10.2139/ssrn. 5040331. URL: http://dx.doi.org/10.2139/ssrn.5040331. Christian P. Fries. “Implied CO2-Price and Interest Rate of Carbon”. In: arXiv (2023, 2024). arXiv: 2312.13448v5 [q-fin.MF]. URL: https://arxiv. org/abs/2312.13448v5. Christian P. Fries. “Stochastic automatic differentiation: automatic differentiation for Monte-Carlo simulations”. In: Quantitative Finance 19.6 (2019), pp. 1043– 1059. DOI: 10.1080/14697688.2018.1556398. eprint: https://doi. org/10.1080/14697688.2018.1556398. URL: https://doi.org/ 10.1080/14697688.2018.1556398. Christian P. Fries and Lennart Quante. “Accounting for Financing Risks improves Intergenerational Equity of Climate Change Mitigation”. In: SSRN (2023). DOI: 10.2139/ssrn.4661050. Christian P. Fries and Lennart Quante. “Intergenerational Equity in Models of Climate Change Mitigation: Stochastic Interest Rates introduce Adverse Effects, but (Non-linear) Funding Costs can Improve Intergenerational Equity”. In: SSRN (2023). DOI: 10.2139/ssrn.4005846. Nicole Glanemann, Sven N. Willner, and Anders Levermann. “Paris Climate Agreement passes the cost-benefit test”. In: Nature Communications 11.1 (2020). Publisher: Springer US, pp. 1–11. ISSN: 20411723. DOI: 10.1038/s41467- 019-13961-1. URL: http://dx.doi.org/10.1038/s41467-019- 13961-1. Christian Gollier and Martin L. Weitzman. “How should the distant future be dis- counted when discount rates are uncertain?” In: Economics Letters 107.3 (2010). Publisher: Elsevier B.V., pp. 350–353. ISSN: 01651765. DOI: 10 . 1016 / j . econlet.2010.03.001. URL: http://dx.doi.org/10.1016/j. econlet.2010.03.001. Michael Grubb, Claudia E. Wieners, and Pu Yang. “Modeling myths: On DICE and dynamic realism in integrated assessment models of climate change miti- gation”. In: Wiley Interdisciplinary Reviews: Climate Change 12 (2021). URL: https://api.semanticscholar.org/CorpusID:234043220. CJ Hepburn and Wilfred Beckerman. “Ethics of the discount rate in the Stern Review on the economics of climate change”. In: World Economics 8.1 (2007), pp. 187–211. URL: http://works.bepress.com/hepburn/8/. John Hull and Alan White. “Pricing interest-rate-derivative securities”. In: The review of financial studies 3.4 (1990), pp. 573–592. Martin C. Hänsel et al. “Climate economics support for the UN climate targets”. In: Nature Climate Change (2020). ISSN: 17586798. DOI: 10.1038/s41558- 020-0833-x. William Nordhaus. “The climate casino: Risk, uncertainty, and economics for a warming world”. In: The Climate Casino: Risk, Uncertainty, and Economics for a Warming World May (2013). ISBN: 9780300189773, pp. 1–378. ISSN: 1469-7688. DOI: 10.1080/14697688.2014.887853. William D. Nordhaus. “Revisiting the social cost of carbon”. In: Proceedings of the National Academy of Sciences of the United States of America 114.7 (2017), pp. 1518–1523. ISSN: 10916490. DOI: 10.1073/pnas.1609244114. Frederick van der Ploeg and Armon Rezai. “Simple Rules for Climate Policy and Integrated Assessment”. en. In: Environmental and Resource Economics 72.1 (Jan. 2019), pp. 77–108. ISSN: 1573-1502. DOI: 10.1007/s10640-018-0280-6. URL: https://doi.org/10.1007/s10640-018-0280-6 (visited on 06/14/2022). K. Rennert et al. “Comprehensive evidence implies a higher social cost of CO2”. In: Nature 610 (2022), pp. 687–692. DOI: 10.1038/s41586-022-05224-9. URL: https://doi.org/10.1038/s41586-022-05224-9. Kevin Rennert et al. “Comprehensive Evidence Implies a Higher Social Cost of CO2”. en. In: Nature (Sept. 2022). Publisher: Nature Publishing Group, pp. 1–3. ISSN: 1476-4687. DOI: 10.1038/s41586-022-05224-9. URL: https: //www.nature.com/articles/s41586-022-05224-9 (visited on 09/20/2022). Ashwin Rode et al. “Estimating a social cost of carbon for global energy con- sumption”. en. In: Nature 598.7880 (Oct. 2021). ISSN: 1476-4687. DOI: 10. 1038/s41586-021-03883-8. URL: https://www.nature.com/ articles/s41586-021-03883-8 (visited on 10/18/2021). Nicolas Taconet, Céline Guivarch, and Antonin Pottier. “Social Cost of Carbon Under Stochastic Tipping Points”. en. In: Environmental and Resource Economics (Mar. 2021). ISSN: 1573-1502. DOI: 10.1007/s10640-021-00549-x. URL: https://doi.org/10.1007/s10640-021-00549-x (visited on 03/16/2021). Frederick Van Der Ploeg. “Discounting and Climate Policy”. In: CESifo Working Papers July (2020). DOI: 10.2139/ssrn.3657977. Gernot Wagner and William H. Hoggan. Carbon Prices, Preferences, and the Timing of Uncertainty. 2020. Dinah Walker. Trends in US military spending. JSTOR, 2012. URL: https: //www.cfr.org/report/trends-us-military-spending. Heiko Wirths, Joachim Rathmann, and Peter Michaelis. “The permafrost carbon feedback in DICE-2013R modeling and empirical results”. en. In: Environmental Economics and Policy Studies 20.1 (Jan. 2018), pp. 109–124. ISSN: 1867-383X. DOI: 10.1007/s10018-017-0186-5. URL: https://doi.org/10. 1007/s10018-017-0186-5 (visited on 02/22/2022). |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/125821 |